Experience
Builds applied AI solutions for People Operations. Develops, implements, and productionizes NLP
applications (LLMs, RAG systems, agentic solutions), scaled time series forecasting (convolutional
networks and RNN’s), anomaly detection mechanisms, and more. Partner and drive analyst education on
machine learning and AI.
Analytical lead within People Operations Reporting & Insights, focused on machine learning products
and inferential analysis for talent movement and retention. Owner of scaled attrition reporting
solutions across all of Google’s product lines and functions. Developed ML models to forecast
attrition and talent movement across Google.
Owner of the data science arm of the Team Member Insights team. Responsible for performing
inferential analysis and building predictive products, including NLP (sentiment, topic tagging),
turnover forecasting, and program evaluation. Owned broader AI/ML strategy for HR. Driver of
quarterly HR business review.
Acting business data analyst for Talent Development and Performance. Used Python/R for inferential
analysis, regression, and PCA. Leveraged NLP for unstructured data insights (LSA, topic modeling).
Created supervised/unsupervised models for predictions. Partnered with IT for dashboarding (Qlik).
Developed analytics using R and Python for global HR programs. Built predictive models for turnover
risk and hiring. Used NLP for employee comments. Automated processes saving 200+ labor hours
annually.
Supported KFC/Pizza Hut international markets. Led global Year End compensation processes.
Implemented global HR analytics programs. Programmed Excel VBA tools to streamline processes.
Managed and analyzed survey data for Fortune 1000 clients using SQL and Access. Streamlined internal
processes and managed engagement survey projects.
Administered the bonus program, performed pay structure analyses, and supported the technology team
in platform creation.
Analyzed job descriptions, compensation surveys, flsa testing, and benefits administration.